Before Machine Learning [Volume 3] - Probability & Statistics for AI: The Fundamental Mathematics for Data Science and AI [400 pages]
Get it here: https://t.co/2FeC070ywW
Also...
Vol. 1 - Linear Algebra: https://t.co/ar2X2fnB7Q
Vol. 2 - Calculus: https://t.co/CZ6GOTkYvl
Now ML - Supervised Learning: https://t.co/nWjirIjim0
The Blessed Virgin Mary, assumed into the glory of heaven, is a sign of hope and consolation for the entire People of God. For this reason, I wish to invoke her maternal intercession today on behalf of those communities that are in particular need of consolation and of renewed hope. My thoughts go out to our brothers and sisters in the Holy Land, which is also, par excellence, the Land of Mary. My thoughts also go out to the Ukrainian and Russian peoples, both of whom are united by their filial devotion to the Holy Mother of God, and to Christians who suffer discrimination or even persecution.
30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: https://t.co/ZHDA8ORSi9 v/ @PacktDataML
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What you will learn:
1️⃣Deploy production-ready agent systems that scale securely and reliably
2️⃣Use LangChain and LangGraph to build autonomous agents with modular architectures
3️⃣Implement agents with sophisticated memory, planning, and reasoning capabilities
4️⃣Seamlessly integrate tools, APIs, and external data into agent workflows
5️⃣Establish robust evaluation frameworks to measure and optimize agent performance
6️⃣Implement guardrails and explainability features to ensure ethical and safe deployment
7️⃣Build multi-agent systems for complex, collaborative task orchestration
8️⃣Apply specific agent architectures across healthcare, finance, and legal domains
New Release by @PacktPublishing@PacktDataML ⤵️
Agentic AI for DevOps Engineers — Build autonomous CI/CD, infrastructure, and operations workflows
Get the expert insight at https://t.co/CsHHFRE6Xd
AI Programming with Python — From Zero to Hero: https://t.co/3kHfF454oO
🔵Thorough introductions to AI, Machine Learning, and Deep Learning
🟢Hands-on introductions to Python
🟠Discussions of supervised and unsupervised learning
🟣Explorations of classification and regression in supervised learning
🔴Explanations of clustering, PCA, and LDA in unsupervised learning
🟡Full treatments of deep learning, cloud computing, and edge computing
I know I’ve been posting a lot recently, but as Fr. Richard John Neuhaus used to say, “it’s a target-rich environment” right now.
The governor of Massachusetts just signed into law a statute that permits abortion up until the moment of birth, as long as mother and doctor give the go-ahead.
Please understand what this means. A fully-formed child, moments before exiting the birth canal, can be eviscerated, chopped into pieces, have its head crushed or skin burned off—all under the full protection of Massachusetts law.
What I found particularly gross was the reaction of the entirely female crowd around the female governor of Massachusetts as she signed this barbaric provision into law. They were clapping and cackling with delight because what can only be called infanticide can now be practiced with impunity in their state.
I’m old enough to remember when Mario Cuomo, the devoutly Catholic governor of New York, admitted that, though he found abortion personally repugnant, he was, after tortured wrestling with his conscience, willing to give it limited protection of law.
How far we have fallen from agonized and conflicted Cuomo to the present governor of Massachusetts and her entourage gleefully applauding the murder of children.
Most people want to become AI Engineers
Very few know what to learn next
That's why I'm giving away one of the best Agentic AI Engineer Roadmaps for FREE to the first 4500 people only
Inside you'll learn
✅ Python Fundamentals
✅ LLM Fundamentals
✅ LangChain LangGraph CrewAI AutoGen
✅ LCEL Runnables & Workflows
✅ Memory Systems
✅ Tool Integrations
✅ RAG Systems
✅ Multi Agent Systems
✅ Real World AI Projects
✅ Interview Questions & Answers
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How to get
Follow me (so I can DM you)
Like + RT
Comment "ROADMAP"
Once the limit is reached I'll stop sending it.
50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, & experimentation: https://t.co/mp3s7JFolp v/ @PacktDataML
This book perfectly reflects its title "50 ML Projects to Understand LLMs". The entire book consists of exactly that: 50 projects, with tasks and subtasks pleasantly outlined, explained, and presented in a beautifully instructive and consistent style. No extraneous pedagogical content. The learning experience in each project delivers the promised understanding of LLM concepts, including informative graphics and detailed elaboration on the project's subtasks as needed. This book is essential for anyone seeking to build LLMs with confidence, knowledge, and skill.
El gesto de Jesús en el #EvangelioDeHoy (Mt 14,13-21)nos enseña que nada se pierde cuando se comparte. La acumulación y el descarte, en cambio, son las dos caras de un mismo mal: la avaricia. Y, de ese modo, ante la opulencia de las cosas que se corrompen, están las manos tendidas de quienes no tienen qué comer, las casas destruidas de quienes no tienen paz.
"Designing Experiments and Analyzing Data: A Model Comparison Perspective" [Third Edition]: https://t.co/X7WOaX6rlH
Amazon summary of the book's numerous pedagogical features:
🟡Examples of published research demonstrate the applicability of each chapter’s content.
🟡Flowcharts assist in choosing the most appropriate procedure.
🟡End-of-chapter lists of important formulas highlight key ideas and assist readers in locating the initial presentation of equations.
🟡Useful programming code and tips are provided throughout the book and in associated resources available online.
🟡Extensive sets of exercises help develop a deeper understanding of the subject.
🟡Detailed solutions for some of the exercises and realistic data sets are included on the website https://t.co/jNgrIapLnh
"Mathematical Thinking - For People Who Hate Math: Level Up Your Analytical and Creative Thinking Skills. Excel at Problem-Solving and Decision-Making"
Get started at https://t.co/V0PWpN4xgO